Deep CNNs are extremely popular for various learning tasks over images [1]}, [2]}. Considering data visualizations as images, they have been applied for tasks such as visual QA, focus tracking etc. For example, [3]} use a combination of CNN and OCR output for question answering on visualizations. As a solution to the problem of automatically learning visual importance i.e., the places in an infographic a user is likely to focus on, [4]} used a fully convolutional network for creating importance maps.
